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conformance-test-example-instances.fsh
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conformance-test-example-instances.fsh
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/*
--------------------------------------------------------------------------------------------------
EXAMPLE OF A GECCO CONFORMANCE DOCUMENT (PDF) RETURNED AFTER A SUCCESSFUL CONFORMANCE TEST (DOCUMENTREFERENCE RESOURCE)
--------------------------------------------------------------------------------------------------
*/
Instance: conformance-test-pdf
InstanceOf: Binary
Usage: #example
* contentType = #application/pdf
* data = "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"
/*
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EXAMPLE OF A RESPONSE TO A DATA SET THAT IS NOT CONFORMANT (OPERATIONOUTCOME RESOURCE LISTING ERRORS)
--------------------------------------------------------------------------------------------------
*/
Instance: conformance-test-opsout
InstanceOf: OperationOutcome
Usage: #example
* issue[0].severity = #warning
* issue[=].code = #processing
* issue[=].diagnostics = "A code with no system has no defined meaning. A system should be provided"
* issue[=].expression = "Bundle.entry[0].resource.ofType(Observation).code.coding[0]"
* issue[+].severity = #warning
* issue[=].code = #processing
* issue[=].diagnostics = "All observations should have a performer"
* issue[=].expression = "Bundle.entry[0].resource.ofType(Observation)"
* issue[+].severity = #warning
* issue[=].code = #processing
* issue[=].diagnostics = "Error null validating CodeableConcept"
* issue[=].expression = "Bundle.entry[0].resource.ofType(Observation).code"
* issue[+].severity = #information
* issue[=].code = #processing
* issue[=].diagnostics = "This element does not match any known slice defined in the profile http://hl7.org/fhir/StructureDefinition/bodyheight"
* issue[=].expression = "Bundle.entry[0].resource.ofType(Observation).code.coding[0]"
* issue[+].severity = #error
* issue[=].code = #processing
* issue[=].diagnostics = "Observation.code.coding:BodyHeightCode: minimum required = 1, but only found 0 (from http://hl7.org/fhir/StructureDefinition/bodyheight)"
* issue[=].expression = "Bundle.entry[0].resource.ofType(Observation).code"
* issue[+].severity = #warning
* issue[=].code = #processing
* issue[=].diagnostics = "A code with no system has no defined meaning. A system should be provided"
* issue[=].expression = "Bundle.entry[1].resource.ofType(Observation).code.coding[0]"
* issue[+].severity = #warning
* issue[=].code = #processing
* issue[=].diagnostics = "All observations should have a performer"
* issue[=].expression = "Bundle.entry[1].resource.ofType(Observation)"
* issue[+].severity = #warning
* issue[=].code = #processing
* issue[=].diagnostics = "Error null validating CodeableConcept"
* issue[=].expression = "Bundle.entry[1].resource.ofType(Observation).code"
* issue[+].severity = #information
* issue[=].code = #processing
* issue[=].diagnostics = "This element does not match any known slice defined in the profile http://hl7.org/fhir/StructureDefinition/bodytemp"
* issue[=].expression = "Bundle.entry[1].resource.ofType(Observation).code.coding[0]"
* issue[+].severity = #error
* issue[=].code = #processing
* issue[=].diagnostics = "Observation.code.coding:BodyTempCode: minimum required = 1, but only found 0 (from http://hl7.org/fhir/StructureDefinition/bodytemp)"
* issue[=].expression = "Bundle.entry[1].resource.ofType(Observation).code"
/*
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FIRST EXAMPLE OF A BUNDLE/FHIR DOCUMENT INPUT FOR CONFORMATION TEST (WITHOUT QUESTIONNAIRES)
--------------------------------------------------------------------------------------------------
*/
Instance: conf-test-input-bundle
InstanceOf: Bundle
Usage: #example
* meta.profile = "https://num-compass.science/fhir/StructureDefinition/NumConformanceTestBundle"
* identifier.system = "urn:ietf:rfc:3986"
* identifier.value = "urn:uuid:1f3c5f82-b9fd-11eb-be06-3bc44e420d35"
* timestamp = "2021-05-11T14:30:00+01:00"
* type = #document
* entry[0].fullUrl = "urn:uuid:30551ce1-5a28-4356-b684-1e639094ad4d"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-1
* entry[+].fullUrl = "urn:uuid:c64139e7-f02d-409c-bf34-75e8bf23bc80"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-2
* entry[+].fullUrl = "urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-3
* entry[+].fullUrl = "urn:uuid:b1128693-372d-469b-8288-04cf091e7553"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-4
* entry[+].fullUrl = "urn:uuid:8d4c2cbb-bc80-4e5a-82f0-0babf997660e"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-5
* entry[+].fullUrl = "urn:uuid:cabb511a-07be-4f2d-9444-54a4171a45a4"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-6
// Composition
Instance: Inline-Instance-for-conf-test-input-bundle-1
InstanceOf: Composition
Usage: #inline
* status = #final
* type = $loinc#68608-9 "Summary note"
* date = "2017-12-11T14:30:00+01:00"
* author.reference = "urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef"
* title = "GECCO conformance test document"
* section[0].title = "Software that generated the test data"
* section[=].code = $loinc#92040-5 "Information communication technology description"
* section[=].entry.reference = "urn:uuid:c64139e7-f02d-409c-bf34-75e8bf23bc80"
* section[+].title = "Organization publishing the software"
* section[=].code = $loinc#91025-7 "Lead department or agency name Organization"
* section[=].entry.reference = "urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef"
* section[+].title = "Test data resources"
* section[=].code = $loinc#68839-0 "Research Note"
* section[=].entry[0].reference = "urn:uuid:b1128693-372d-469b-8288-04cf091e7553"
* section[=].entry[+].reference = "urn:uuid:8d4c2cbb-bc80-4e5a-82f0-0babf997660e"
* section[=].entry[+].reference = "urn:uuid:cabb511a-07be-4f2d-9444-54a4171a45a4"
// Information about the software (Device resource)
Instance: Inline-Instance-for-conf-test-input-bundle-2
InstanceOf: Device
Usage: #inline
* deviceName.name = "Example COVID-19 app"
* deviceName.type = #manufacturer-name
* type = $sct#706689003 "Application program software"
* version.value = "1.3.4"
* owner = Reference(urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef)
// Information about the organization publishing the software (Organization resource)
Instance: Inline-Instance-for-conf-test-input-bundle-3
InstanceOf: Organization
Usage: #inline
* name = "Klinik für Infektiologie - Universitätsklinikum Beispielstadt"
* telecom.system = #email
* telecom.value = "[email protected]"
* address.line = "Spitalgasse 123"
* address.city = "Beispielstadt"
* address.postalCode = "123456"
* address.country = "Germany"
// GECCO Patient example
Instance: Inline-Instance-for-conf-test-input-bundle-4
InstanceOf: Patient
Usage: #inline
* meta.profile = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/Patient"
* extension[0].url = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/ethnic-group"
* extension[=].valueCoding = $sct#186019001 "Other ethnic, mixed origin"
* extension[+].extension[0].url = "dateTimeOfDocumentation"
* extension[=].extension[=].valueDateTime = "2020-10-01"
* extension[=].extension[+].url = "age"
* extension[=].extension[=].valueAge = 67 'a' "years"
* extension[=].url = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/age"
* identifier.type = $v2-0203#MR
* identifier.system = "https://www.charite.de/fhir/CodeSystem/medical-record-numbers"
* identifier.value = "43814872"
* birthDate = "1953-09-30"
// GECCO Condition example
Instance: Inline-Instance-for-conf-test-input-bundle-5
InstanceOf: Condition
Usage: #inline
* meta.profile = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/chronic-lung-diseases"
* clinicalStatus = $condition-clinical#active "Active"
* verificationStatus.coding[0] = $condition-ver-status#confirmed "Confirmed"
* verificationStatus.coding[+] = $sct#410605003 "Confirmed present (qualifier value)"
* category = $sct#418112009 "Pulmonary medicine"
* code = $sct#413839001 "Chronic lung disease"
* subject.reference = "urn:uuid:b1128693-372d-469b-8288-04cf091e7553"
* recordedDate = "2020-11-10T15:50:41+01:00"
// GECCO Observation example
Instance: Inline-Instance-for-conf-test-input-bundle-6
InstanceOf: Observation
Usage: #inline
* meta.profile = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/sars-cov-2-rt-pcr"
* identifier.type = $v2-0203#OBI
* identifier.system = "https://www.charite.de/fhir/CodeSystem/lab-identifiers"
* identifier.value = "94500-6_SARS-CoV-2-RNA-Presence-in-Respiratory-specimen"
* identifier.assigner.reference = "urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef"
* status = #final
* category.coding[0] = $loinc#26436-6
* category.coding[+] = $observation-category#laboratory
* code = $loinc#94500-6 "SARS-CoV-2 (COVID-19) RNA [Presence] in Respiratory specimen by NAA with probe detection"
* code.text = "SARS-CoV-2-RNA (PCR)"
* subject.reference = "urn:uuid:b1128693-372d-469b-8288-04cf091e7553"
* effectiveDateTime = "2020-11-10T15:50:41+01:00"
* valueCodeableConcept = $sct#260373001 "Detected (qualifier value)"
* valueCodeableConcept.text = "SARS-CoV-2-RNA positiv"
/*
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SECOND EXAMPLE OF A BUNDLE/FHIR DOCUMENT INPUT FOR CONFORMATION TEST (WITH A QUESTIONNAIRE)
--------------------------------------------------------------------------------------------------
*/
Instance: conf-test-input-bundle-quest
InstanceOf: Bundle
Usage: #example
* meta.profile = "https://num-compass.science/fhir/StructureDefinition/NumConformanceTestBundle"
* identifier.system = "urn:ietf:rfc:3986"
* identifier.value = "urn:uuid:1f3c5f82-b9fd-11eb-be06-3bc44e420d35"
* timestamp = "2021-05-11T14:30:00+01:00"
* type = #document
* entry[0].fullUrl = "urn:uuid:30551ce1-5a28-4356-b684-1e639094ad4d"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-quest-1
* entry[+].fullUrl = "urn:uuid:c64139e7-f02d-409c-bf34-75e8bf23bc80"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-quest-2
* entry[+].fullUrl = "urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-quest-3
* entry[+].fullUrl = "urn:uuid:72884cad-ebe6-4f43-a51a-2f978275f132"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-quest-4
* entry[+].fullUrl = "urn:uuid:b1128693-372d-469b-8288-04cf091e7553"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-quest-5
* entry[+].fullUrl = "urn:uuid:8d4c2cbb-bc80-4e5a-82f0-0babf997660e"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-quest-6
* entry[+].fullUrl = "urn:uuid:cabb511a-07be-4f2d-9444-54a4171a45a4"
* entry[=].resource = Inline-Instance-for-conf-test-input-bundle-quest-7
// Composition
Instance: Inline-Instance-for-conf-test-input-bundle-quest-1
InstanceOf: Composition
Usage: #inline
* status = #final
* type = $loinc#68608-9 "Summary note"
* date = "2017-12-11T14:30:00+01:00"
* author.reference = "urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef"
* title = "GECCO conformance test document"
* section[0].title = "Software that generated the test data"
* section[=].code = $loinc#92040-5 "Information communication technology description"
* section[=].entry.reference = "urn:uuid:c64139e7-f02d-409c-bf34-75e8bf23bc80"
* section[+].title = "Organization publishing the software"
* section[=].code = $loinc#91025-7 "Lead department or agency name Organization"
* section[=].entry.reference = "urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef"
* section[+].title = "Questionnaires used in the software"
* section[=].code = $loinc#74468-0 "Questionnaire form definition Document"
* section[=].entry.reference = "urn:uuid:72884cad-ebe6-4f43-a51a-2f978275f132"
* section[+].title = "Test data resources"
* section[=].code = $loinc#68839-0 "Research Note"
* section[=].entry[0].reference = "urn:uuid:b1128693-372d-469b-8288-04cf091e7553"
* section[=].entry[+].reference = "urn:uuid:8d4c2cbb-bc80-4e5a-82f0-0babf997660e"
* section[=].entry[+].reference = "urn:uuid:cabb511a-07be-4f2d-9444-54a4171a45a4"
// Information about the software (Device resource)
Instance: Inline-Instance-for-conf-test-input-bundle-quest-2
InstanceOf: Device
Usage: #inline
* deviceName.name = "Example COVID-19 app"
* deviceName.type = #manufacturer-name
* type = $sct#706689003 "Application program software"
* version.value = "1.3.4"
* owner = Reference(urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef)
// Information about the organization publishing the software (Organization resource)
Instance: Inline-Instance-for-conf-test-input-bundle-quest-3
InstanceOf: Organization
Usage: #inline
* name = "Klinik für Infektiologie - Universitätsklinikum Beispielstadt"
* telecom.system = #email
* telecom.value = "[email protected]"
* address.line = "Spitalgasse 123"
* address.city = "Beispielstadt"
* address.postalCode = "123456"
* address.country = "Germany"
// Questionnaire used in the software
Instance: Inline-Instance-for-conf-test-input-bundle-quest-4
InstanceOf: Questionnaire
Usage: #inline
* url = "http://example.com/some-app-questionnaire"
* status = #active
* subjectType = #Patient
* code = $nl#"VL 1-1, 18-65_1.2.2" "Lifelines Questionnaire 1 part 1"
* item[0].linkId = "1"
* item[=].text = "Do you have allergies?"
* item[=].type = #boolean
* item[+].linkId = "2"
* item[=].text = "General questions"
* item[=].type = #group
* item[=].item[0].linkId = "2.1"
* item[=].item[=].text = "What is your gender?"
* item[=].item[=].type = #string
* item[=].item[+].linkId = "2.2"
* item[=].item[=].text = "What is your date of birth?"
* item[=].item[=].type = #date
* item[=].item[+].linkId = "2.3"
* item[=].item[=].text = "What is your country of birth?"
* item[=].item[=].type = #string
* item[=].item[+].linkId = "2.4"
* item[=].item[=].text = "What is your marital status?"
* item[=].item[=].type = #string
* item[+].linkId = "3"
* item[=].text = "Intoxications"
* item[=].type = #group
* item[=].item[0].linkId = "3.1"
* item[=].item[=].text = "Do you smoke?"
* item[=].item[=].type = #boolean
* item[=].item[+].linkId = "3.2"
* item[=].item[=].text = "Do you drink alcohol?"
* item[=].item[=].type = #boolean
// GECCO Patient example
Instance: Inline-Instance-for-conf-test-input-bundle-quest-5
InstanceOf: Patient
Usage: #inline
* meta.profile = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/Patient"
* extension[0].url = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/ethnic-group"
* extension[=].valueCoding = $sct#186019001 "Other ethnic, mixed origin"
* extension[+].extension[0].url = "dateTimeOfDocumentation"
* extension[=].extension[=].valueDateTime = "2020-10-01"
* extension[=].extension[+].url = "age"
* extension[=].extension[=].valueAge = 67 'a' "years"
* extension[=].url = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/age"
* identifier.type = $v2-0203#MR
* identifier.system = "https://www.charite.de/fhir/CodeSystem/medical-record-numbers"
* identifier.value = "43814872"
* birthDate = "1953-09-30"
// GECCO Condition example
Instance: Inline-Instance-for-conf-test-input-bundle-quest-6
InstanceOf: Condition
Usage: #inline
* meta.profile = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/chronic-lung-diseases"
* clinicalStatus = $condition-clinical#active "Active"
* verificationStatus.coding[0] = $condition-ver-status#confirmed "Confirmed"
* verificationStatus.coding[+] = $sct#410605003 "Confirmed present (qualifier value)"
* category = $sct#418112009 "Pulmonary medicine"
* code = $sct#413839001 "Chronic lung disease"
* subject.reference = "urn:uuid:b1128693-372d-469b-8288-04cf091e7553"
* recordedDate = "2020-11-10T15:50:41+01:00"
// GECCO Observation example
Instance: Inline-Instance-for-conf-test-input-bundle-quest-7
InstanceOf: Observation
Usage: #inline
* meta.profile = "https://www.netzwerk-universitaetsmedizin.de/fhir/StructureDefinition/sars-cov-2-rt-pcr"
* identifier.type = $v2-0203#OBI
* identifier.system = "https://www.charite.de/fhir/CodeSystem/lab-identifiers"
* identifier.value = "94500-6_SARS-CoV-2-RNA-Presence-in-Respiratory-specimen"
* identifier.assigner.reference = "urn:uuid:1c616b24-3895-48c4-9a02-9a64110351ef"
* status = #final
* category.coding[0] = $loinc#26436-6
* category.coding[+] = $observation-category#laboratory
* code = $loinc#94500-6 "SARS-CoV-2 (COVID-19) RNA [Presence] in Respiratory specimen by NAA with probe detection"
* code.text = "SARS-CoV-2-RNA (PCR)"
* subject.reference = "urn:uuid:b1128693-372d-469b-8288-04cf091e7553"
* effectiveDateTime = "2020-11-10T15:50:41+01:00"
* valueCodeableConcept = $sct#260373001 "Detected (qualifier value)"
* valueCodeableConcept.text = "SARS-CoV-2-RNA positiv"